Our laboratory combines the research fields of decision science such as neuroeconomics, behavioral economics, psychology. In addition to these research fields of individual decision making, we will extend and connect principles of decision making to decision making at group and society levels with the aid of analysis techniques of big data, which are developed in new fields of collective behavior. Our research will bring about positive impacts to people in society by enhancing scientific understanding of humans and by creating sustainable designs of social systems. Through this exciting research endeavor, we create positive values for people in our global society. 

For more information, read the interview article "Good decisions and good science both start with honesty" at https://cbs.riken.jp/en/articles/004.html

Featured Lab News & Events

July 1, 2020: David Aguilar Lleyda joins the lab as a postdoctoral researcher.
June 20, 2020:
Our paper on the nature of biological and artificial intelligence is published: https://www.mdpi.com/2076-3425/10/6/396/htm
March 4, 2020:
We submitted our first paper of 2020: https://psyarxiv.com/ced3t/
March 3, 2020: 
Finally we create a lab website!
January 20, 2020: Ryan Badman joins the lab as a postdoctoral researcher.
November 2019: Rei gives a talk "Machine Learning with Human-Centered Approach with Decision Science" at a workshop hosted by the Machine Learning Tokyo community.
October 2019: Rei gives a talk “Meta” processes in the Human Brain: A View from Multiscale Computations" in a series hosted by Consciousness Club Tokyo at Araya.
September 2019: 
Rei gives a talk "Decision (Neuro)Science in Society" at a workshop hosted by the Machine Learning Tokyo community.

August 2019: Naoko Shiono joins the lab as an administrative assistant.

Click tab at top for all news and events

Follow us on Twitter: https://twitter.com/Decision_Tokyo


Areas of Research & Selected Publications:

Selected Publications

Badman, R. P., Hills, T. T., & Akaishi, R. (2020). Multiscale Computation and Dynamic Attention in Biological and Artificial Intelligence. Brain Sciences10(6), 396. https://doi.org/10.3390/brainsci10060396

-----Formerly: Badman, Ryan, Thomas T. Hills, and Rei Akaishi. 2020. “Navigating Uncertain Environments: Multiscale Computation in Biological and Artificial Intelligence.” PsyArXiv.  March 4. doi:10.31234/osf.io/ced3t.

Nagase, A.M., Onoda, K., Foo, J.C., Haji, T., Akaishi, R., Yamaguchi, S., Sakai, K. and Morita, K.: "Neural Mechanisms for Adaptive Learned Avoidance of Mental Effort."
Journal of Neuroscience, 38, 2631-2651 (2018). doi: https://doi.org/10.1523/JNEUROSCI.1995-17.2018

Eisenreich, B.R., Akaishi, R. and Hayden, B.Y.: "Control without controllers: toward a distributed neuroscience of executive control." Journal of cognitive neuroscience 29, 1684-1698 (2017). doi: 

Wittmann, M.K., Kolling, N., Akaishi, R., Chau, B.K., Brown, J.W., Nelissen, N. and Rushworth, M.F.: Predictive decision making driven by multiple time-linked reward representations in the anterior cingulate cortex." Nature communications, 7, 12327 (2016). doi: https://doi.org/10.1038/ncomms12327

Akaishi, R. and Hayden, B.Y.: "A spotlight on reward." Neuron, 90, 1148-1150 (2016). doi: https://doi.org/10.1016/j.neuron.2016.06.008

Akaishi, R., Kolling, N., Brown, J.W. and Rushworth, M.: "Neural mechanisms of credit assignment in a multicue environment." Journal of Neuroscience, 36, 1096-1112 (2016). doi: https://doi.org/10.1523/JNEUROSCI.3159-15.2016

Akaishi, R., Umeda, K., Nagase, A. and Sakai, K.: "Autonomous mechanism of internal choice estimate underlies decision inertia. "Neuron, 81, 195-206 (2014). doi: https://doi.org/10.1016/j.neuron.2013.10.018

Akaishi, R., Ueda, N. and Sakai, K.: "Task-related modulation of effective connectivity during perceptual decision making: dissociation between dorsal and ventral prefrontal cortex." Frontiers in human neuroscience, 7, 365 (2013). doi: https://doi.org/10.3389/fnhum.2013.00365

Akaishi, R., Morishima, Y., Rajeswaren, V.P., Aoki, S. and Sakai, K.: "Stimulation of the frontal eye field reveals persistent effective connectivity after controlled behavior." Journal of Neuroscience, 30, 4295-4305 (2010). doi: https://doi.org/10.1523/JNEUROSCI.6198-09.2010

Soga, R., Akaishi, R. and Sakai, K.:  "Predictive and postdictive mechanisms jointly contribute to visual awareness." Consciousness and cognition, 18, 578-592 (2009). doi: https://doi.org/10.1016/j.concog.2009.04.007

Morishima, Y., Akaishi, R., Yamada, Y., Okuda, J., Toma, K. and Sakai, K.: "Task-specific signal transmission from prefrontal cortex in visual selective attention." Nature neuroscience, 12, 85 (2009). doi: https://doi.org/10.1038/nn.2237

Research Gate:    https://www.researchgate.net/profile/Rei_Akaishi

Google Scholar:   https://scholar.google.co.uk/citations?user=DfjZki0AAAAJ&hl=en

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